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README (7).md

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+---
+license: afl-3.0
+---

choropleth-maps.py

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+from dash import Dash, dcc, html, Input, Output
+import plotly.express as px
+
+app = Dash(__name__)
+
+
+app.layout = html.Div([
+    html.H4('Polotical candidate voting pool analysis'),
+    html.P("Select a candidate:"),
+    dcc.RadioItems(
+        id='choropleth-maps-x-candidate', 
+        options=["Joly", "Coderre", "Bergeron"],
+        value="Coderre",
+        inline=True
+    ),
+    dcc.Graph(id="choropleth-maps-x-graph"),
+])
+
+
+@app.callback(
+    Output("choropleth-maps-x-graph", "figure"), 
+    Input("choropleth-maps-x-candidate", "value"))
+def display_choropleth(candidate):
+    df = px.data.election() # replace with your own data source
+    geojson = px.data.election_geojson()
+    fig = px.choropleth(
+        df, geojson=geojson, color=candidate,
+        locations="district", featureidkey="properties.district",
+        projection="mercator", range_color=[0, 6500])
+    fig.update_geos(fitbounds="locations", visible=False)
+    fig.update_layout(margin={"r":0,"t":0,"l":0,"b":0})
+    return fig
+
+
+if __name__ == "__main__":
+    app.run_server(debug=True)

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